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Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

ID of a dataset type:

Derived product version number:

The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

Sun azimuth to (exclusive):

Sun elevation from:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Platform code:

Product family code:

African regional area:

Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Landsat root mean square error from:

Landsat root mean square error to (exclusive):

Landsat root mean square error in X from:

Landsat root mean square error in X to (exclusive):

Landsat root mean square error in Y from:

Landsat root mean square error in Y to (exclusive):

The satellite orbit state, either ascending or descending:

The satellite relative orbit from:

The satellite relative orbit to (exclusive):

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

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31 results

Time (local)	Label
2013-10-19 17:40:44	wofs_ls_171079_2013-10-19.stac-item
2014-01-15 19:59:12	wofs_ls_195056_2014-01-15.stac-item
2014-02-02 18:12:14	wofs_ls_177067_2014-02-02.stac-item
2015-05-31 18:42:24	wofs_ls_182070_2015-05-31.stac-item
2015-09-01 19:36:44	wofs_ls_193034_2015-09-01.stac-item
2016-03-11 19:44:21	wofs_ls_193053_2016-03-11.stac-item
2016-07-31 16:39:30	wofs_ls_163054_2016-07-31.stac-item
2016-11-12 15:57:09	wofs_ls_155071_2016-11-12.stac-item
2017-03-12 19:56:36	wofs_ls_195053_2017-03-12.stac-item
2017-09-13 16:33:49	wofs_ls_162055_2017-09-13.stac-item
2019-01-10 16:18:01	wofs_ls_158078_2019-01-10.stac-item
2019-01-16 18:53:29	wofs_ls_184065_2019-01-16.stac-item
2020-10-20 16:09:31	wofs_ls_157071_2020-10-20.stac-item
2021-07-14 19:04:44	wofs_ls_186062_2021-07-14.stac-item
2021-09-06 18:23:36	wofs_ls_180051_2021-09-06.stac-item
2021-12-27 20:02:31	wofs_ls_196051_2021-12-27.stac-item
2022-01-25 20:18:16	wofs_ls_199044_2022-01-25.stac-item
2022-01-31 18:07:53	wofs_ls_177058_2022-01-31.stac-item
2022-06-15 19:00:13	wofs_ls_186050_2022-06-15.stac-item
2022-06-26 18:03:06	wofs_ls_175078_2022-06-26.stac-item
2022-08-12 15:39:39	wofs_ls_152074_2022-08-12.stac-item
2022-09-06 18:46:06	wofs_ls_183061_2022-09-06.stac-item
2022-11-07 17:20:59	wofs_ls_169064_2022-11-07.stac-item
2022-12-18 17:16:00	wofs_ls_168067_2022-12-18.stac-item
2023-03-20 19:58:09	wofs_ls_196041_2023-03-20.stac-item
2023-04-18 17:10:50	wofs_ls_167071_2023-04-18.stac-item
2023-05-30 17:51:32	wofs_ls_173081_2023-05-30.stac-item
2023-06-09 16:40:05	wofs_ls_163057_2023-06-09.stac-item
2023-09-18 17:03:17	wofs_ls_166067_2023-09-18.stac-item
2024-03-24 19:46:22	wofs_ls_194043_2024-03-24.stac-item
2024-03-27 17:12:10	wofs_ls_167075_2024-03-27.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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